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ORCIDNaveen Kumar Thokala
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2020 – today
- 2022
[c14]Naveen Kumar Thokala, Spoorthy Paresh, M. Girish Chandra:
An effective electrical load disaggregation approach for low-sampled smart meter data. BuildSys@SenSys 2022: 149-158- 2021
- [c13]Spoorthy Paresh, Naveen Kumar Thokala, Vishnu Brindavanam, M. Girish Chandra:
A representational learning assisted matrix factorization approach for electrical load disaggregation. BuildSys@SenSys 2021: 281-285 - 2020
- [c12]Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra:
Multi-Label Auto-Encoder based Electrical Load Disaggregation. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [c11]Kriti Kumar, M. Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala:
Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness. e-Energy 2019: 47-51 - [c10]Karumanchi Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra:
Enterprise System Response Time Prediction Using Non-stationary Function Approximations. IWANN (1) 2019: 74-87 - [c9]Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra:
A Scalable Long-Horizon Forecasting of Building Electricity Consumption. IWANN (1) 2019: 174-185 - [c8]Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar:
Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. IWANN (1) 2019: 186-197 - [c7]Rajasekhar Gopu, Anusha Gudimallam, Vishnu Brindavanam, Naveen Kumar Thokala, M. Girish Chandra:
On Electrical Load Disaggregation using Recurrent Neural Networks. BuildSys@SenSys 2019: 364-365 - [c6]Spoorthy Paresh, Naveen Kumar Thokala, M. Girish Chandra:
Electrical Load Disaggregation using a two-stage deep learning approach. BuildSys@SenSys 2019: 366-367 - 2018
- [c5]Naveen Kumar Thokala, Aakanksha Bapna, M. Girish Chandra:
A deployable electrical load forecasting solution for commercial buildings. ICIT 2018: 1101-1106 - [c4]Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala:
Tool Wear Prediction using Function Approximation Driven by Signal Processing. IECON 2018: 2742-2747 - 2017
- [c3]V. Ramu Reddy, Anirban Dutta Choudhury, Srinivasan Jayaraman, Naveen Kumar Thokala, Parijat Deshpande, Venkatesh Kaliaperumal:
PerDMCS: Weighted Fusion of PPG Signal Features for Robust and Efficient Diabetes Mellitus Classification. HEALTHINF 2017: 553-560 - [c2]V. Ramu Reddy, Anirban Dutta Choudhury, Parijat Deshpande, Srinivasan Jayaraman, Naveen Kumar Thokala, Venkatesh Kaliaperumal:
DMSense: A non-invasive Diabetes Mellitus Classification System using Photoplethysmogram signal. PerCom Workshops 2017: 71-73 - 2016
- [c1]Naveen Kumar Thokala, M. Girish Chandra:
Disaggregated Forecasting for Large Office Buildings: Poster Abstract. BuildSys@SenSys 2016: 231-232
Coauthor Index
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